Triple

T10719120
Position Surface form Disambiguated ID Type / Status
Subject Cam Gigandet E252769 entity
Predicate notableWork P4 FINISHED
Object Ice
Ice is a television drama series featuring Cam Gigandet in a central role, set in the high-stakes world of the diamond trade.
 E882025 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Ice | Statement: [Cam Gigandet, notableWork, Ice]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ice
Context triple: [Cam Gigandet, notableWork, Ice]
  • A. Ice
    "Ice" is a song by Canadian singer-songwriter Sarah McLachlan from her acclaimed 1993 album *Fumbling Towards Ecstasy*.
  • B. ICE
    ICE is a U.S. federal agency under the Department of Homeland Security responsible for enforcing immigration laws and investigating customs, border, and national security-related offenses.
  • C. ICE
    ICE is Emirates’ award-winning in-flight entertainment system offering a wide range of movies, TV, music, and information services to passengers.
  • D. ICE
    ICE is a leading professional association and learned society that supports and regulates civil engineers, primarily in the United Kingdom but with a global membership.
  • E. ICE
    ICE is a research institute at Johns Hopkins University focused on advancing the understanding and engineering of cells for biomedical applications.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ice
Triple: [Cam Gigandet, notableWork, Ice]
Generated description
Ice is a television drama series featuring Cam Gigandet in a central role, set in the high-stakes world of the diamond trade.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ice
Target entity description: Ice is a television drama series featuring Cam Gigandet in a central role, set in the high-stakes world of the diamond trade.
  • A. Ice
    "Ice" is a song by Canadian singer-songwriter Sarah McLachlan from her acclaimed 1993 album *Fumbling Towards Ecstasy*.
  • B. ICE
    ICE is a U.S. federal agency under the Department of Homeland Security responsible for enforcing immigration laws and investigating customs, border, and national security-related offenses.
  • C. ICE
    ICE is Emirates’ award-winning in-flight entertainment system offering a wide range of movies, TV, music, and information services to passengers.
  • D. ICE
    ICE is a leading professional association and learned society that supports and regulates civil engineers, primarily in the United Kingdom but with a global membership.
  • E. ICE
    ICE is a research institute at Johns Hopkins University focused on advancing the understanding and engineering of cells for biomedical applications.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6aa5d8be481909a43218b2bfdbe95 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6ff3722ec8190b2d78a5630bf6efc completed April 9, 2026, 1:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69dbb71dd6f88190beb99ca75914fb09 completed April 12, 2026, 3:15 p.m.
NEDg Description generation batch_69dbbbe3d9dc819088f85d41ef66ab29 completed April 12, 2026, 3:36 p.m.
NED2 Entity disambiguation (via description) batch_69dbc58a5ef481908e67fff6686fb506 completed April 12, 2026, 4:17 p.m.
Created at: April 8, 2026, 9:13 p.m.